Comparison of the Diagnostic Accuracy of Magnetic Resonance Imaging with Sonography in the Prediction of Breast Cancer Tumor Size: A Concordance Analysis with Histopathologically Determined Tumor Size

Lai, Hung-Wen; Chen, Dar‐Ren; Wu, Yu-Shiang; Chen, Chih‐Jung; Lee, Chih-Wei; Kuo, Shou‐Jen; Chen, Shou‐Tung; Wu, Hwa-Koon

doi:10.1245/s10434-015-4424-4

Cited by 55 publications

(38 citation statements)

References 20 publications

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“…MGM also overestimated in approximately 20% of patients. Other studies have also shown similar underestimation/overestimation rates for MGM and U/S . These findings underscore the deficiencies of breast imaging in delineating tumor size.…”

Section: Discussionsupporting

confidence: 71%

“…This method does not allow for accurate concordance because a measurement of >0.5 cm for a larger tumor does not have as much impact as for a smaller tumor. Another recent study by Lai et al used 25% of the maximal tumor size and found a better concordance rate for MRI and tumor size . We used 33% of the maximal tumor size, which allowed for higher concordance rates then a 25% cutoff.…”

Section: Discussionmentioning

confidence: 99%

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Clinical accuracy of preoperative breast MRI for breast cancer

Tseng

Kyrillos

Liederbach

et al. 2017

Journal of Surgical Oncology

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Section: Discussionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Clinical accuracy of preoperative breast MRI for breast cancer

Tseng

Kyrillos

Liederbach

et al. 2017

Journal of Surgical Oncology

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“…[8,11] Nipple inversion or retraction was evaluated using axial T1-weighted and fat-suppressed T2-weighted images. A complete loss of the normal nipple tip was considered as nipple inversion.…”

Section: Methodsmentioning

confidence: 99%

Role of breast magnetic resonance imaging in predicting malignant invasion of the nipple-areolar complex

Liao

et al. 2017

Medicine

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In this study, we assessed the diagnostic accuracy of breast magnetic resonance imaging (MRI) for evaluation of malignant invasion of the nipple-areolar complex (NAC).Patients with primary operable breast cancer who underwent preoperative breast MRI and received surgery during January 2011 to December 2013 were collected. The accuracy and potential factors of MRI in predicting nipple invasion were evaluated by comparing preoperative MRI with postoperative histopathologic findings. The consistency of interobservers’ variances across different radiologists was also compared.Totally, 704 patients were enrolled in this study, and 56 (8%) patients have pathologic NAC invasion. Several MRI factors were potential predictors of nipple invasion. Only unilateral nipple enhancement on MRI was the most significant independent predictor of NAC involvement in multivariate analysis. The statistical measures, such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the accuracy of breast MRI were 71.4%, 81.6%, 25.2%, 97.1%, and 80.8%, respectively, in one investigator and 78.6%, 88.1%, 36.4%, 97.9%, and 87.4%, respectively, in the other investigator.MR images showed acceptable accuracy and impressive NPV, but low PPV in evaluation of malignant NAC invasion preoperatively. MRI finding of unilateral nipple enhancement was the most significant predictor of NAC involvement.

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“…Table 4 summarizes the performance of different imaging studies in estimating tumour size. The tendency to overestimate lesion size by breast MRI was found by several authors [6, 10, 25, 26] and in more than 50% of the cohort of 682 patients of Lai et al [26]. This is partly related to the method of measurement of tumour size and the concordance thresholds established prior to examination.…”

Section: Discussionmentioning

confidence: 93%

Relevance of breast MRI in determining the size and focality of invasive breast cancer treated by mastectomy: a prospective study

Carin¹,

Molière

Gabriele

et al. 2017

World J Surg Onc

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BackgroundThe aim of this study was the evaluation of breast MRI in determining the size and focality of invasive non-metastatic breast cancers.MethodsThe prospective, single-centre study conducted in 2015 compared preoperative MRI with histological analysis of mastectomy.ResultsOne hundred one mastectomies from 98 patients were extensively analysed. The rates of false-positive and false-negative MRI were 2 and 4% respectively. The sensitivity of breast MRI was 84.7% for the detection of all invasive foci, 69% for single foci and 65.7% for multiple foci. In the evaluation of tumour size, the Spearman rank correlation coefficient r between the sizes obtained by MRI and histology was 0.62. The MRI-based prediction of a complete response to neoadjuvant chemotherapy was 75%.DiscussionMRI exhibits high sensitivity in the detection of invasive breast cancers. False positives were linked to the inflammatory nature of the tumour bed. False negatives were associated with small or low-grade tumours and their retro-areolar location. The size of T1 tumours was overestimated by an average of 7%, but MRI was the most efficient procedure. The sensitivity of MRI for the diagnosis of unifocal tumours was higher than that for multifocal sites. Our study confirmed the positive contribution of preoperative MRI for invasive lobular carcinomas and complete response predictions after neoadjuvant chemotherapy.

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Comparison of the Diagnostic Accuracy of Magnetic Resonance Imaging with Sonography in the Prediction of Breast Cancer Tumor Size: A Concordance Analysis with Histopathologically Determined Tumor Size

Abstract: MRI tends to overestimate the actual tumor size, while sonography frequently underestimates it. Combined sonography and MRI increases the accuracy of tumor size prediction.

Cited by 55 publications

References 20 publications

Clinical accuracy of preoperative breast MRI for breast cancer

Clinical accuracy of preoperative breast MRI for breast cancer

Role of breast magnetic resonance imaging in predicting malignant invasion of the nipple-areolar complex

Relevance of breast MRI in determining the size and focality of invasive breast cancer treated by mastectomy: a prospective study

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